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XRPL Model Context Protocol Server

MCP Server

Unified AI interface for XRP Ledger operations

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Updated Aug 6, 2025

About

A TypeScript MCP server that exposes comprehensive XRP Ledger services—balances, transfers, NFTs, AMMs, DIDs, and more—to AI agents across MainNet, TestNet, and DevNet via a consistent interface.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP XRPL Server Badge

The XRP Ledger Model Context Protocol Server is a purpose‑built MCP backend that exposes the full breadth of XRPL functionality to AI agents through a single, consistent interface. By abstracting away the complexities of direct XRPL node interaction, it lets developers harness blockchain operations—such as balance queries, token transfers, NFT minting, and AMM participation—without writing low‑level code. The server supports all three XRPL networks (MainNet, TestNet, DevNet), enabling rapid prototyping and production deployments from the same toolset.

At its core, the server transforms every XRPL operation into a reusable MCP tool or resource. An AI assistant can discover these tools via the MCP discovery mechanism, then invoke them with simple JSON payloads. For example, a user can ask an assistant to “transfer 100 XRP from Alice to Bob,” and the assistant will translate that request into a tool call, which the server executes on the chosen network. This decoupling of intent from implementation empowers AI agents to perform complex blockchain workflows with minimal friction.

Key capabilities include:

  • Account and Token Management – Retrieve account details, manage trustlines, transfer XRP or issued tokens, and handle token metadata.
  • NFT Operations – Mint, view, transfer, and collect NFTs on XRPL, supporting the growing digital asset ecosystem.
  • Decentralized Identifiers (DIDs) – Create, resolve, update, and deactivate DIDs stored on the ledger, facilitating identity‑centric applications.
  • Financial Instruments – Operate payment channels, escrows, checks, and automated market makers (AMMs), enabling sophisticated DeFi primitives.
  • Oracle and Ticketing – Set oracle data for on‑chain truth and manage transaction tickets for batch processing.

In practice, this server shines in scenarios where AI assistants act as smart contract orchestrators or blockchain‑aware copilots. A financial chatbot could automatically audit a user’s token holdings, propose optimal AMM trades, or generate escrow agreements—all by calling MCP tools. Developers building decentralized applications can integrate the server into their CI/CD pipelines, allowing AI agents to perform end‑to‑end testing against TestNet or DevNet before a production release. Because the MCP interface is language‑agnostic, any AI platform that understands MCP—Claude, Gemini, or custom agents—can tap into XRPL features without bespoke SDKs.

Unique advantages of the MCP XRPL Server include its network agnosticism (switching between MainNet, TestNet, and DevNet via a single configuration), its comprehensive feature set covering both core ledger operations and advanced DeFi primitives, and its developer‑friendly tooling that eliminates the need to manage XRPL nodes or keys manually. By bridging AI intent and blockchain execution, this server enables a new class of intelligent, data‑driven applications that can interact with the XRP Ledger at scale.